Gaussian Noise

Gaussian noise refers to a type of random variation commonly seen in measurements and signals, resembling the bell-shaped curve of a Gaussian distribution. Imagine taking multiple readings of a temperature sensor; the results won't all be the same due to minor fluctuations or interference. Most values will cluster around the true temperature, with fewer readings appearing much higher or lower. This noise is important in fields like engineering and data science, as it helps model uncertainties and improve the accuracy of systems, ensuring they can function reliably despite these random variations.